ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MEDFORD, MA · 2024
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/medford/2024-annual-report
Yearly Traffic Safety Analysis
1,360 CRASHES IN
MEDFORD, MA
2024
In 2024, Medford recorded 1,360 vehicle crashes, a 6.5% decrease from the 1,454 crashes reported in 2023. Despite the overall reduction in collisions, the number of people injured rose by 5.9%, from 323 to 342, while fatalities remained unchanged at one. The most notable shift in contributing factors was a 94.4% increase in the count of crashes attributed to 'Driving too fast for conditions,' which grew from 18 to 35 incidents.
1,360
▼ -6.5%was 1,454
Total Crash Events
1
Persons Killed
342
▲ 5.9%was 323
Persons Injured
237
▼ -9.2%was 261
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 135 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in vehicle crashes in Medford shows a decline between 2023 and 2024, with total incidents falling by 6.5% from 1,454 to 1,360. In contrast to the drop in total crashes, the number of people injured increased by 5.9% from 323 to 342. The number of fatalities remained stable, with one death recorded in each year.
237
Hit-and-Run Crashes — 2024
▼ -9.2% vs prior (261)
The number of hit-and-run crashes in Medford decreased by 9.2%, from 261 incidents in 2023 to 237 in 2024. This decline was proportional to the overall drop in crashes, resulting in a slight downward trend for the hit-and-run rate, which fell from 18.0% of all crashes in 2023 to 17.4% in 2024.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
24
Pedestrians Injured
17
Cyclists Injured
296
Motorists Injured
5
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained relatively consistent, with Friday being the peak day for crashes in both 2024 (222 crashes) and 2023 (235 crashes). However, the peak hour for collisions shifted earlier in the day. In 2024, the peak was the 2 p.m. hour with 113 crashes, a change from the 5 p.m. peak hour in 2023 which saw 117 crashes.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The number of fatal crashes and resulting fatalities was unchanged, with one fatal incident and one death recorded in both 2024 and 2023. The proportion of crashes resulting in any type of injury (serious, minor, or possible) increased from 18.3% in 2023 to 19.3% in 2024. This was driven by a rise in serious injury crashes (from 15 to 17) and minor injury crashes (from 167 to 181).
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
The top three contributing factors remained the same in both periods, though their counts decreased in line with the overall trend. A notable exception was speeding-related behavior; crashes attributed to 'Driving too fast for conditions' increased by 94.4% in count, from 18 incidents in 2023 to 35 in 2024. Similarly, crashes involving 'Exceeded authorized speed limit' rose from 14 to 17.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in both periods predominantly occurred during daylight hours (935 in 2024 vs. 968 in 2023) and on dry roads (1,058 in 2024 vs. 1,123 in 2023). There was no significant shift in the proportion of crashes occurring under adverse conditions. Incidents during rain decreased from 132 to 102, and crashes on wet roads fell from 263 to 223, reflecting the overall reduction in total crashes.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes were Toyota, Honda, and Ford in both years. Toyota's involvement increased from 489 to 518 vehicles, while Honda and Ford saw decreases. Among persons involved, the 26-34 age group remained the largest demographic, increasing slightly from 556 to 573 individuals. Conversely, the 21-25 age group saw a significant decrease in involvement, from 366 persons in 2023 to 281 in 2024.
Top Vehicle Makes (2,669 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
528 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,570 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
The 25 mph speed zone was the location for the highest number of crashes in both years, with 912 incidents in 2024 and 954 in 2023. The single fatal crash in each year also occurred within a 25 mph zone. Crashes in 30 mph zones saw a notable decrease, falling from 100 to 56, while incidents in 55 mph zones rose slightly from 107 to 111.
Fatal crashes by zone: 25 mph: 1 of 912 (0.11%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Posted speed limit at crash location
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.
Data Retrieval
- Access method: Arcgis_yearly Open Data API (SoQL queries)
- Data format: Structured JSON via REST API
- Record types queried: Crash events, person records, and vehicle unit records
- Date filter applied: 2024-01-01 through 2024-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: MEDFORD, MA
- Total crash records analyzed: 1,360
- Total persons involved: 3,119
- Total vehicles involved: 2,669
Analytical Methodology
- Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
- Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
- Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
- Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
- Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
- Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
- AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.
Limitations & Disclaimers
- Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
- Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
- Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
- AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
- Percentages are calculated from reported data and are subject to rounding.
Non-Affiliation Disclosure
This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.
Data License
The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.
Corrections & Feedback
If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.
Suggested Citation
ThatCarHitMe.com (Injuria.ai). "MEDFORD, MA Crash Intelligence Report: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/medford/2024-annual-report
About the Publisher
ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.
Questions about this report's data or methodology: data@injuria.ai
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved